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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, July 2019
|
| DOI | 10.3389/fnagi.2019.00194 |
| Pubmed ID | |
| Authors |
Moritz Böhle, Fabian Eitel, Martin Weygandt, Kerstin Ritter |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 14% |
| Switzerland | 1 | 7% |
| Finland | 1 | 7% |
| Korea, Republic of | 1 | 7% |
| Norway | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 285 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 285 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 18% |
| Student > Master | 47 | 16% |
| Student > Bachelor | 25 | 9% |
| Researcher | 21 | 7% |
| Student > Doctoral Student | 16 | 6% |
| Other | 28 | 10% |
| Unknown | 97 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 72 | 25% |
| Engineering | 34 | 12% |
| Neuroscience | 15 | 5% |
| Biochemistry, Genetics and Molecular Biology | 9 | 3% |
| Medicine and Dentistry | 8 | 3% |
| Other | 39 | 14% |
| Unknown | 108 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2021.
All research outputs
#1,801,266
of 25,163,238 outputs
Outputs from Frontiers in Aging Neuroscience
#487
of 5,438 outputs
Outputs of similar age
#37,120
of 352,161 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#19
of 114 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,161 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.